Abstract

This study aimed to propose an internet-based student admission screening system utilizing data mining in order for officers to reduce time to evaluate applicants as well as for the faculty to use less human resources on screening applicants that meets their proficiency and criteria of each department. Another benefit is that the system can help applicants efficiently choose a specialization that is suitable to their proficiency and capability. The system used a decision tree based classification method. Prior to system development, six models were created and tested to find the most efficient model which would later be applied for development of internet-based student admission screening system. The first three of six models employed a k-fold cross validation technique, while the remaining three models use a percentage split test technique. Experiment results revealed that the most efficient model was the data classification model that uses Percentage Split (80), which provided the precision of 87.90%, recall of 87.80%, F-measure of 87.60% and accuracy of 87.82%. To make the efficient student admission screening system, this experiment selected a data classification model that implements Percentage Split (80).

Highlights

  • Undergraduate student admission of educational institutions in Thailand is crucial because it directly affects to education management, budget planning for institution administration and education management, and lastly educational quality and standard indicator of each university that mainly concentrates on students

  • Faculty of Science and Technology, Suratthani Rajabhat University continuously receives a lot of applications and new students can enroll to the faculty in various ways

  • The first section is about data analysis using data mining techniques and the second section is about development of student admission screening system that utilize data mining techniques

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Summary

Introduction

Undergraduate student admission of educational institutions in Thailand is crucial because it directly affects to education management, budget planning for institution administration and education management, and lastly educational quality and standard indicator of each university that mainly concentrates on students. The efficient student admission as well as nurturing students throughout their enrolled curriculum until they complete the study in high quality under a specified timeframe are what the institutions realize and pay attention to [1]. Since criteria are different from one department to another, each student admission screening takes time and sometimes the screening does not serve unqualified students in accordance with a department’s criteria, due to the fact that staffs evaluating those applicants are not from the department where students apply for. This results in maintaining a student status for an entire curriculum. Students are unable to complete the program or even drop out from studying

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